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Dots On A Map Improve Data Quality April 18, 2009

Posted by Peter Benza in Data Accuracy, Data Hygiene, Data Integrity, Data Management, Data Mining, Data Profiling, Data Quality, Data Standardization, Data Stewardship, Data Types, Data Visualization, Linkedin.
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This was a presentation I originally prepared back in 2005, but is probably even more applicable in 2009 given the impact using a GIS tool can have on visualizing data quality – customer addresses on  a map! The next time you conduct a customer “data” assessment – try this!

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Data Quality and Master Data Initiatives March 31, 2009

Posted by Peter Benza in Data Accuracy, Data Integration, Data Integrity, Data Profiling, Data Quality, Data Sources.
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Initiatives related to master data continues to be on the radar of major corporations especially as it relates to data quality and other mission critical business processes across the enterprise that impact or relies on the quality of data being complete, accurate, and up-to-date.

What other MDM initiatives (besides Data Quality) are also paramount as part of centralizing master data for single customer view purposes.

Lets start a list:

1.) Data Profiling

2.) Data Integration

3.) Match Accuracy

4.) MDM Tools

5.) ???

What tool or service do you license/subscribe to for geocoding? December 27, 2008

Posted by Peter Benza in Data Accuracy, Data Tools.
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Cognos data quality rapid assessment service January 17, 2008

Posted by Peter Benza in Data Accuracy, Data Analysis, Data Governance, Data Integration, Data Management, Data Metrics, Data Profiling, Data Quality, Data Standardization, Data Stewardship, Data Tools.
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http://www.cognos.com/performance-management/technology/data-quality/pdfs/fs-cognos-data-quality-rapid-assessment-service.pdf

BusinessObjects data quality XI January 17, 2008

Posted by Peter Benza in Data Accuracy, Data Analysis, Data Architecture, Data Assessment, Data Consolidation, Data Hygiene, Data Integrity, Data Profiling, Data Quality, Data References, Data Strategy, Data Templates, Data Tools.
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Standardize, Identify Duplicates, Correct, Improve Match, Append, Consolidate, and more.    

http://www.businessobjects.com/products/dataquality/data_quality_xi.asp

Summit 2008 – San Francisco January 10, 2008

Posted by Peter Benza in Data Accuracy, Data Governance, Data Integrity, Data Metrics, Data Processes, Data Quality, Data Stewardship, Data Strategy, Data Templates, Data Verification, Data Warehouse.
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If you have not attended a Summit then mark your calendars for:

CDI-MDM Summit Spring 2008

Please post and share your comments about this upcoming summit or if you have not attended and want to learn more then link using the above reference.

MDM Accelerator® by Zoomix January 9, 2008

Posted by Peter Benza in Data Accuracy, Data Aggregates, Data Analysis, Data Assessment, Data Consolidation, Data Dictionary, Data Formats, Data Governance, Data Hygiene, Data Integration, Data Management, Data Metrics, Data Processes, Data Profiling, Data Quality, Data References, Data Sources, Data Standardization, Data Stewardship, Data Synchronization, Data Templates, Data Tools.
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To learn more about or post your comments about MDM Accelerator®

by Zoomix.

http://www.zoomix.com/mdm.asp

Spatial data layers and conflation September 18, 2007

Posted by Peter Benza in Data Accuracy, Data Elements, Data Formats, Data Types, Data Visualization.
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Conflation is more than matching features from different spatial sources.  A good spatial-matching technology that includes conflation as a parameter should also be defined by location, the shapes attributes, and its relationships to other objects. 

A good example of this is when two or more road networks have conflicting views – how do you proceed, if you end up only wanting to display one of the sources? 

What geometrical matching techniques or advice do you have on this topic?

Is your data accurate? August 16, 2007

Posted by Peter Benza in Data Accuracy.
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Data accuracy is the result ensuring the values for each data element being canvassed is true.  The level of precision associated with that variable is also another indicator to determine data accuracy.  And on a more system or enterprise level no system or application errors have been logged or reported.

What data quality dimensions can statisticans impact by using a data profiling tool. August 16, 2007

Posted by Peter Benza in Data Accuracy, Data Completeness, Data Profiling, Data Quality, Data Tools.
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Two data quality dimensions that statisticans can play a role in is data accuracy and data completeness.  A data profiling tool comes in handy to facilitate the actual research required by the organization. 

What data profiling tool does your organization use?

What other data quality dimensions can be analyzed?